Linear-Quadratic-Gaussian (LQG) Design

Linear-quadratic-Gaussian (LQG) control is a state-space technique that allows you to trade off regulation/tracker performance and control effort, and to take into account process disturbances and measurement noise.

LQG Regulation: Rolling Mill Case Study

Use linear-quadratic-Gaussian techniques to regulate the beam thickness in a steel rolling mill.

Design LQG Tracker Using Control System Designer

Design a feedback controller for a disk drive read/write head using LQG synthesis.

Design Yaw Damper for Jet Transport

This case study illustrates the classical design process.

Design an LQG Regulator

Design an LQG regulator for a plant output in a system with noise.

Design an LQG Servo Controller

Design an LQG servo controller using a Kalman state estimator.

Design an LQR Servo Controller in Simulink

Design an LQR controller for a system modeled in Simulink^®.

Pole Placement

Closed-loop pole locations have a direct impact on time response characteristics such as rise time, settling time, and transient oscillations. Pole placement uses state-space techniques to assign closed-loop poles.